iPhone 11 Pro
Geekbench AI Score
1705
Single Precision Score
3183
Half Precision Score
2616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1370
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3669
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6749
7.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
5924
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1818
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5539
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3942
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7283
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
14628
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12444
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2090
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2620
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3344
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3324
57.4 IPS |
